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Improving Infrastructure Installation Planning Processes using Procedural Modeling

Author

Listed:
  • Nae-Young Choei

    (Department of Urban Design and Planning, Hongik University, Seoul 04066, Korea)

  • Hyungkyoo Kim

    (Department of Urban Design and Planning, Hongik University, Seoul 04066, Korea)

  • Seonghun Kim

    (Research Institute of Science and Technology, Hongik University, Seoul 04066, Korea)

Abstract

Time and costs are often the most critical constraints in implementing a development impact fee (DIF) for local infrastructure installation planning in South Korea. For this reason, drafting quality plan alternatives and calculating precise DIFs for improvement remain challenging. This study proposes an application of a procedural modeling method using CityEngine as an alternative to traditional methods, which rely on AutoCAD. A virtual low-density suburban development project in Jeju, South Korea was used to compare the workability of the two methods. The findings suggest that procedural modeling outperforms the other approach by significantly reducing the number of steps and commands required in the planning process. This paper also argues that procedural modeling provides real-time 2- and 3-dimensional modeling and design evaluation and allows for a more efficient assessment of plan quality and calculation of DIF. We also argue for the need to diffuse procedural modeling to better support local planning practices.

Suggested Citation

  • Nae-Young Choei & Hyungkyoo Kim & Seonghun Kim, 2020. "Improving Infrastructure Installation Planning Processes using Procedural Modeling," Land, MDPI, vol. 9(2), pages 1-15, February.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:2:p:48-:d:318562
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    References listed on IDEAS

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    Cited by:

    1. Kwabena Obeng Asiama & Rohan Bennett & Christiaan Lemmen & Winrich Voss, 2021. "Land, Innovation, and Social Good," Land, MDPI, vol. 10(5), pages 1-6, May.

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